Exponential time

Exponential time refers to computational tasks where the time required to solve them grows extremely rapidly as the size of the input increases. Specifically, if input size is n, the time might double, triple, or grow by some power with each additional element, leading to a total time roughly proportional to an exponential function like 2^n. This means that doubling the input size can make the computation take hundreds or thousands of times longer, making such problems practically unsolvable for large data sets within reasonable time frames. Exponential algorithms are typically considered inefficient for large-scale problems.